Sepsis Analysis

Dataset statistics

Number of variables	17
Number of observations	878
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	123.5 KiB
Average record size in memory	144.0 B

Variable types

Numeric	10
Categorical	7

Alerts

`APACHE II` is highly overall correlated with `Age` and 2 other fields	High correlation
`Age` is highly overall correlated with `APACHE II` and 1 other fields	High correlation
`Age_cat` is highly overall correlated with `Age`	High correlation
`Diagnosis` is highly overall correlated with `Diagnosis_cat`	High correlation
`Diagnosis_cat` is highly overall correlated with `Diagnosis`	High correlation
`Gender` is highly overall correlated with `Gender_cat`	High correlation
`Gender_cat` is highly overall correlated with `Gender`	High correlation
`LymC` is highly overall correlated with `NLCR` and 1 other fields	High correlation
`Mortality` is highly overall correlated with `APACHE II` and 1 other fields	High correlation
`NLCR` is highly overall correlated with `LymC`	High correlation
`NeuC` is highly overall correlated with `WBCC`	High correlation
`SOFA` is highly overall correlated with `APACHE II` and 1 other fields	High correlation
`WBCC` is highly overall correlated with `LymC` and 1 other fields	High correlation
`Mortality` is highly imbalanced (75.8%)	Imbalance
`SOFA` has 404 (46.0%) zeros	Zeros

Reproduction

Analysis started	2024-12-19 09:48:54.735920
Analysis finished	2024-12-19 09:49:27.082168
Duration	32.35 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

Age
Real number (ℝ)

High correlation

Distinct	78
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.274487

Minimum	18
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	18
5-th percentile	23
Q1	39
median	57
Q3	70
95-th percentile	85
Maximum	99
Range	81
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	19.216609
Coefficient of variation (CV)	0.34765784
Kurtosis	-0.9042444
Mean	55.274487
Median Absolute Deviation (MAD)	15
Skewness	-0.10973703
Sum	48531
Variance	369.27805
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	28	3.2%
69	22	2.5%
58	22	2.5%
63	21	2.4%
52	21	2.4%
80	20	2.3%
64	20	2.3%
51	20	2.3%
39	19	2.2%
57	19	2.2%
Other values (68)	666	75.9%

Value	Count	Frequency (%)
18	6	0.7%
19	7	0.8%
20	9	1.0%
21	5	0.6%
22	14	1.6%
23	10	1.1%
24	11	1.3%
25	7	0.8%
26	12	1.4%
27	10	1.1%

Value	Count	Frequency (%)
99	1	0.1%
98	2	0.2%
97	1	0.1%
96	1	0.1%
94	3	0.3%
91	1	0.1%
89	4	0.5%
88	8	0.9%
87	10	1.1%
86	9	1.0%

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

E	525
K	353

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	878
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E
2nd row	E
3rd row	E
4th row	E
5th row	E

Common Values

Value	Count	Frequency (%)
E	525	59.8%
K	353	40.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
e	525	59.8%
k	353	40.2%

Most occurring characters

Value	Count	Frequency (%)
E	525	59.8%
K	353	40.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	525	59.8%
K	353	40.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	525	59.8%
K	353	40.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	525	59.8%
K	353	40.2%

Diagnosis
Categorical

High correlation

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

EC	551
M	297
AC	30

Length

Max length	2
Median length	2
Mean length	1.6617312
Min length	1

Characters and Unicode

Total characters	1459
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	EC
3rd row	M
4th row	AC
5th row	AC

Common Values

Value	Count	Frequency (%)
EC	551	62.8%
M	297	33.8%
AC	30	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ec	551	62.8%
m	297	33.8%
ac	30	3.4%

Most occurring characters

Value	Count	Frequency (%)
C	581	39.8%
E	551	37.8%
M	297	20.4%
A	30	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1459	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	581	39.8%
E	551	37.8%
M	297	20.4%
A	30	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1459	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	581	39.8%
E	551	37.8%
M	297	20.4%
A	30	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1459	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	581	39.8%
E	551	37.8%
M	297	20.4%
A	30	2.1%

APACHE II
Real number (ℝ)

High correlation

Distinct	35
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.009112

Minimum	0
Maximum	34
Zeros	4
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	6
median	10
Q3	14
95-th percentile	25
Maximum	34
Range	34
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.4392545
Coefficient of variation (CV)	0.58490228
Kurtosis	0.98424134
Mean	11.009112
Median Absolute Deviation (MAD)	4
Skewness	1.0783689
Sum	9666
Variance	41.463999
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
5	92	10.5%
10	75	8.5%
9	72	8.2%
7	65	7.4%
8	57	6.5%
11	49	5.6%
4	45	5.1%
12	43	4.9%
6	43	4.9%
14	42	4.8%
Other values (25)	295	33.6%

Value	Count	Frequency (%)
0	4	0.5%
1	5	0.6%
2	7	0.8%
3	38	4.3%
4	45	5.1%
5	92	10.5%
6	43	4.9%
7	65	7.4%
8	57	6.5%
9	72	8.2%

Value	Count	Frequency (%)
34	1	0.1%
33	4	0.5%
32	1	0.1%
31	3	0.3%
30	4	0.5%
29	7	0.8%
28	6	0.7%
27	4	0.5%
26	6	0.7%
25	9	1.0%

SOFA
Real number (ℝ)

High correlation Zeros

Distinct	11
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5284738

Minimum	0
Maximum	10
Zeros	404
Zeros (%)	46.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	6
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.0603185
Coefficient of variation (CV)	1.347958
Kurtosis	2.9796836
Mean	1.5284738
Median Absolute Deviation (MAD)	1
Skewness	1.7429532
Sum	1342
Variance	4.2449124
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	404	46.0%
2	164	18.7%
1	128	14.6%
3	60	6.8%
4	37	4.2%
5	26	3.0%
6	24	2.7%
7	13	1.5%
8	10	1.1%
9	7	0.8%

Value	Count	Frequency (%)
0	404	46.0%
1	128	14.6%
2	164	18.7%
3	60	6.8%
4	37	4.2%
5	26	3.0%
6	24	2.7%
7	13	1.5%
8	10	1.1%
9	7	0.8%

Value	Count	Frequency (%)
10	5	0.6%
9	7	0.8%
8	10	1.1%
7	13	1.5%
6	24	2.7%
5	26	3.0%
4	37	4.2%
3	60	6.8%
2	164	18.7%
1	128	14.6%

WBCC
Real number (ℝ)

High correlation

Distinct	698
Distinct (%)	79.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.010744

Minimum	1.37
Maximum	25.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	1.37
5-th percentile	4.297
Q1	7.655
median	10.525
Q3	14.12
95-th percentile	19.633
Maximum	25.6
Range	24.23
Interquartile range (IQR)	6.465

Descriptive statistics

Standard deviation	4.6427384
Coefficient of variation (CV)	0.4216553
Kurtosis	-0.17212551
Mean	11.010744
Median Absolute Deviation (MAD)	3.19
Skewness	0.48731764
Sum	9667.433
Variance	21.55502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.58	4	0.5%
8.85	4	0.5%
8.03	3	0.3%
7.56	3	0.3%
10.64	3	0.3%
13.15	3	0.3%
5.09	3	0.3%
8.22	3	0.3%
12.41	3	0.3%
11.83	3	0.3%
Other values (688)	846	96.4%

Value	Count	Frequency (%)
1.37	1	0.1%
1.88	1	0.1%
2.02	1	0.1%
2.19	1	0.1%
2.31	1	0.1%
2.41	1	0.1%
2.49	1	0.1%
2.52	1	0.1%
2.53	1	0.1%
2.69	1	0.1%

Value	Count	Frequency (%)
25.6	1	0.1%
25.21	1	0.1%
24.82	1	0.1%
24.41	1	0.1%
23.7	1	0.1%
23.07	1	0.1%
23.05	2	0.2%
22.95	1	0.1%
22.92	1	0.1%
22.8	1	0.1%

NeuC
Real number (ℝ)

High correlation

Distinct	670
Distinct (%)	76.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.2515945

Minimum	0.92
Maximum	21.33
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	0.92
5-th percentile	3.367
Q1	6.0525
median	8.69
Q3	12.1
95-th percentile	16.8375
Maximum	21.33
Range	20.41
Interquartile range (IQR)	6.0475

Descriptive statistics

Standard deviation	4.1180599
Coefficient of variation (CV)	0.44511894
Kurtosis	-0.28058056
Mean	9.2515945
Median Absolute Deviation (MAD)	2.965
Skewness	0.48659089
Sum	8122.9
Variance	16.958418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.4	5	0.6%
5.73	5	0.6%
7.66	5	0.6%
9.07	5	0.6%
7.95	4	0.5%
8.35	4	0.5%
7.93	4	0.5%
5.21	4	0.5%
7.14	3	0.3%
8.79	3	0.3%
Other values (660)	836	95.2%

Value	Count	Frequency (%)
0.92	1	0.1%
1.44	1	0.1%
1.54	1	0.1%
1.55	1	0.1%
1.64	1	0.1%
1.75	1	0.1%
1.8	1	0.1%
1.95	1	0.1%
1.99	1	0.1%
2.1	1	0.1%

Value	Count	Frequency (%)
21.33	1	0.1%
21.05	1	0.1%
20.79	1	0.1%
20.62	1	0.1%
20.2	1	0.1%
20.1	1	0.1%
20	1	0.1%
19.69	1	0.1%
19.62	1	0.1%
19.59	1	0.1%

LymC
Real number (ℝ)

High correlation

Distinct	200
Distinct (%)	22.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.94917995

Minimum	0.11
Maximum	2.3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	0.11
5-th percentile	0.3
Q1	0.58
median	0.86
Q3	1.2375
95-th percentile	1.9115
Maximum	2.3
Range	2.19
Interquartile range (IQR)	0.6575

Descriptive statistics

Standard deviation	0.48538434
Coefficient of variation (CV)	0.5113723
Kurtosis	-0.12184409
Mean	0.94917995
Median Absolute Deviation (MAD)	0.32
Skewness	0.69553991
Sum	833.38
Variance	0.23559796
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.58	17	1.9%
0.46	15	1.7%
0.75	13	1.5%
0.61	12	1.4%
0.76	12	1.4%
0.86	11	1.3%
0.6	11	1.3%
0.53	11	1.3%
0.79	11	1.3%
0.52	10	1.1%
Other values (190)	755	86.0%

Value	Count	Frequency (%)
0.11	2	0.2%
0.13	2	0.2%
0.14	1	0.1%
0.16	2	0.2%
0.17	1	0.1%
0.18	4	0.5%
0.2	1	0.1%
0.21	8	0.9%
0.22	2	0.2%
0.23	3	0.3%

Value	Count	Frequency (%)
2.3	2	0.2%
2.29	2	0.2%
2.27	1	0.1%
2.26	1	0.1%
2.24	1	0.1%
2.23	4	0.5%
2.21	1	0.1%
2.2	1	0.1%
2.17	3	0.3%
2.14	1	0.1%

NLCR
Real number (ℝ)

High correlation

Distinct	853
Distinct (%)	97.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.421015

Minimum	1.4099379
Maximum	27.730159
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	1.4099379
5-th percentile	3.9055321
Q1	7.2431399
median	10.423026
Q3	14.594867
95-th percentile	23.082627
Maximum	27.730159
Range	26.320221
Interquartile range (IQR)	7.3517268

Descriptive statistics

Standard deviation	5.6053011
Coefficient of variation (CV)	0.49078836
Kurtosis	0.16219185
Mean	11.421015
Median Absolute Deviation (MAD)	3.5833333
Skewness	0.7906158
Sum	10027.651
Variance	31.419401
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	6	0.7%
11	3	0.3%
4.235294118	2	0.2%
15	2	0.2%
15.63043478	2	0.2%
6	2	0.2%
14.5	2	0.2%
10.54545455	2	0.2%
12.375	2	0.2%
9.6	2	0.2%
Other values (843)	853	97.2%

Value	Count	Frequency (%)
1.409937888	1	0.1%
1.833333333	1	0.1%
1.846153846	1	0.1%
2.040229885	1	0.1%
2.051546392	1	0.1%
2.100436681	1	0.1%
2.12	1	0.1%
2.12962963	1	0.1%
2.341013825	1	0.1%
2.448780488	1	0.1%

Value	Count	Frequency (%)
27.73015873	1	0.1%
27.66666667	1	0.1%
27.58823529	2	0.2%
27.07142857	1	0.1%
26.98076923	1	0.1%
26.72972973	1	0.1%
26.25806452	2	0.2%
26.24242424	1	0.1%
26.23529412	1	0.1%
26.16666667	1	0.1%

PLTC
Real number (ℝ)

Distinct	311
Distinct (%)	35.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	183.40433

Minimum	13
Maximum	414
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	13
5-th percentile	56
Q1	123
median	182
Q3	234
95-th percentile	339.3
Maximum	414
Range	401
Interquartile range (IQR)	111

Descriptive statistics

Standard deviation	83.124719
Coefficient of variation (CV)	0.45323205
Kurtosis	-0.31578696
Mean	183.40433
Median Absolute Deviation (MAD)	56
Skewness	0.33312748
Sum	161029
Variance	6909.7189
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
147	11	1.3%
214	10	1.1%
189	9	1.0%
224	8	0.9%
158	7	0.8%
195	7	0.8%
201	7	0.8%
196	7	0.8%
105	7	0.8%
152	7	0.8%
Other values (301)	798	90.9%

Value	Count	Frequency (%)
13	1	0.1%
14	1	0.1%
23	1	0.1%
24	1	0.1%
26	1	0.1%
30	1	0.1%
33	1	0.1%
35	1	0.1%
36	1	0.1%
38	1	0.1%

Value	Count	Frequency (%)
414	1	0.1%
411	2	0.2%
404	1	0.1%
400	1	0.1%
394	1	0.1%
393	1	0.1%
392	3	0.3%
391	1	0.1%
389	2	0.2%
382	1	0.1%

MPV
Real number (ℝ)

Distinct	52
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.15213

Minimum	7.7
Maximum	12.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	7.7
5-th percentile	8.7
Q1	9.5
median	10.1
Q3	10.7
95-th percentile	11.8
Maximum	12.7
Range	5
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	0.93069812
Coefficient of variation (CV)	0.091675159
Kurtosis	-0.13715545
Mean	10.15213
Median Absolute Deviation (MAD)	0.6
Skewness	0.23663361
Sum	8913.57
Variance	0.86619899
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	56	6.4%
9.6	39	4.4%
10.1	39	4.4%
10.2	37	4.2%
10.4	37	4.2%
10.7	35	4.0%
10.6	35	4.0%
9.9	34	3.9%
11	32	3.6%
9.8	30	3.4%
Other values (42)	504	57.4%

Value	Count	Frequency (%)
7.7	1	0.1%
7.9	2	0.2%
8	3	0.3%
8.1	4	0.5%
8.2	5	0.6%
8.3	3	0.3%
8.4	1	0.1%
8.5	8	0.9%
8.6	7	0.8%
8.7	12	1.4%

Value	Count	Frequency (%)
12.7	4	0.5%
12.6	3	0.3%
12.5	3	0.3%
12.4	6	0.7%
12.3	2	0.2%
12.2	4	0.5%
12.1	9	1.0%
12	4	0.5%
11.9	5	0.6%
11.8	5	0.6%

Group
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

0	678
1	200

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	878
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	678	77.2%
1	200	22.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	678	77.2%
1	200	22.8%

Most occurring characters

Value	Count	Frequency (%)
0	678	77.2%
1	200	22.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	678	77.2%
1	200	22.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	678	77.2%
1	200	22.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	678	77.2%
1	200	22.8%

LOS-ICU
Real number (ℝ)

Distinct	6
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7938497

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.2506267
Coefficient of variation (CV)	0.69717473
Kurtosis	1.7329815
Mean	1.7938497
Median Absolute Deviation (MAD)	0
Skewness	1.6248408
Sum	1575
Variance	1.564067
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	538	61.3%
2	158	18.0%
3	77	8.8%
4	47	5.4%
5	46	5.2%
6	12	1.4%

Value	Count	Frequency (%)
1	538	61.3%
2	158	18.0%
3	77	8.8%
4	47	5.4%
5	46	5.2%
6	12	1.4%

Value	Count	Frequency (%)
6	12	1.4%
5	46	5.2%
4	47	5.4%
3	77	8.8%
2	158	18.0%
1	538	61.3%

Mortality
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

0	843
1	35

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	878
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	843	96.0%
1	35	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	843	96.0%
1	35	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	843	96.0%
1	35	4.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	843	96.0%
1	35	4.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	843	96.0%
1	35	4.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	843	96.0%
1	35	4.0%

Gender_cat
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

1.0	525
0.0	353

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2634
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	525	59.8%
0.0	353	40.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	525	59.8%
0.0	353	40.2%

Most occurring characters

Value	Count	Frequency (%)
0	1231	46.7%
.	878	33.3%
1	525	19.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2634	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1231	46.7%
.	878	33.3%
1	525	19.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2634	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1231	46.7%
.	878	33.3%
1	525	19.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2634	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1231	46.7%
.	878	33.3%
1	525	19.9%

Age_cat
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

0	538
1	340

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	878
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	538	61.3%
1	340	38.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	538	61.3%
1	340	38.7%

Most occurring characters

Value	Count	Frequency (%)
0	538	61.3%
1	340	38.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	538	61.3%
1	340	38.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	538	61.3%
1	340	38.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	538	61.3%
1	340	38.7%

Diagnosis_cat
Categorical

High correlation

Distinct	3
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	13.7 KiB

0.0	551
1.0	297
2.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2634
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
0.0	551	62.8%
1.0	297	33.8%
2.0	30	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	551	62.8%
1.0	297	33.8%
2.0	30	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	1429	54.3%
.	878	33.3%
1	297	11.3%
2	30	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2634	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1429	54.3%
.	878	33.3%
1	297	11.3%
2	30	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2634	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1429	54.3%
.	878	33.3%
1	297	11.3%
2	30	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2634	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1429	54.3%
.	878	33.3%
1	297	11.3%
2	30	1.1%

	APACHE II	Age	Age_cat	Diagnosis	Diagnosis_cat	Gender	Gender_cat	Group	LOS-ICU	LymC	MPV	Mortality	NLCR	NeuC	PLTC	SOFA	WBCC
APACHE II	1.000	0.570	0.457	0.397	0.397	0.062	0.062	0.452	0.450	-0.223	0.098	0.666	0.054	-0.215	-0.173	0.547	-0.214
Age	0.570	1.000	0.906	0.236	0.236	0.138	0.138	0.214	0.286	-0.134	0.040	0.101	-0.009	-0.164	0.023	0.306	-0.162
Age_cat	0.457	0.906	1.000	0.274	0.274	0.045	0.045	0.136	0.250	0.111	0.000	0.089	0.065	0.105	0.140	0.197	0.127
Diagnosis	0.397	0.236	0.274	1.000	1.000	0.000	0.000	0.380	0.372	0.039	0.116	0.244	0.169	0.107	0.115	0.294	0.093
Diagnosis_cat	0.397	0.236	0.274	1.000	1.000	0.000	0.000	0.380	0.372	0.039	0.116	0.244	0.169	0.107	0.115	0.294	0.093
Gender	0.062	0.138	0.045	0.000	0.000	1.000	0.998	0.000	0.041	0.038	0.080	0.000	0.055	0.064	0.099	0.028	0.044
Gender_cat	0.062	0.138	0.045	0.000	0.000	0.998	1.000	0.000	0.041	0.038	0.080	0.000	0.055	0.064	0.099	0.028	0.044
Group	0.452	0.214	0.136	0.380	0.380	0.000	0.000	1.000	0.346	0.164	0.000	0.241	0.000	0.117	0.174	0.244	0.112
LOS-ICU	0.450	0.286	0.250	0.372	0.372	0.041	0.041	0.346	1.000	-0.075	-0.012	0.198	-0.008	-0.113	-0.026	0.446	-0.104
LymC	-0.223	-0.134	0.111	0.039	0.039	0.038	0.038	0.164	-0.075	1.000	-0.086	0.000	-0.618	0.460	0.475	-0.113	0.555
MPV	0.098	0.040	0.000	0.116	0.116	0.080	0.080	0.000	-0.012	-0.086	1.000	0.107	0.031	-0.051	-0.373	0.122	-0.057
Mortality	0.666	0.101	0.089	0.244	0.244	0.000	0.000	0.241	0.198	0.000	0.107	1.000	0.000	0.086	0.000	0.709	0.000
NLCR	0.054	-0.009	0.065	0.169	0.169	0.055	0.055	0.000	-0.008	-0.618	0.031	0.000	1.000	0.355	-0.109	-0.066	0.244
NeuC	-0.215	-0.164	0.105	0.107	0.107	0.064	0.064	0.117	-0.113	0.460	-0.051	0.086	0.355	1.000	0.438	-0.203	0.982
PLTC	-0.173	0.023	0.140	0.115	0.115	0.099	0.099	0.174	-0.026	0.475	-0.373	0.000	-0.109	0.438	1.000	-0.215	0.473
SOFA	0.547	0.306	0.197	0.294	0.294	0.028	0.028	0.244	0.446	-0.113	0.122	0.709	-0.066	-0.203	-0.215	1.000	-0.191
WBCC	-0.214	-0.162	0.127	0.093	0.093	0.044	0.044	0.112	-0.104	0.555	-0.057	0.000	0.244	0.982	0.473	-0.191	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Age	Gender	Diagnosis	APACHE II	SOFA	WBCC	NeuC	LymC	NLCR	PLTC	MPV	Group	LOS-ICU	Gender_cat	Age_cat	Diagnosis_cat
1	46	E	M	7	0	14.92	11.91	2.12	5.617925	241	9.4	0	1	1.0	0	1.0
4	65	E	EC	14	0	8.18	7.15	0.41	17.439024	152	11.6	0	2	1.0	1	0.0
5	80	E	M	15	1	15.40	12.59	1.28	9.835938	280	11.0	1	1	1.0	1	1.0
6	23	E	AC	14	0	10.48	8.66	1.22	7.098361	176	10.0	0	1	1.0	0	2.0
7	53	E	AC	10	3	19.16	16.28	0.62	26.258065	280	10.8	0	1	1.0	0	2.0
8	81	E	M	11	0	15.31	13.58	1.20	11.316667	177	10.9	0	1	1.0	1	1.0
11	47	E	EC	5	0	5.16	4.49	0.25	17.960000	116	9.0	0	1	1.0	0	0.0
12	53	E	EC	7	6	5.03	4.52	0.33	13.696970	24	12.0	1	1	1.0	0	0.0
13	20	E	M	32	4	7.51	5.32	0.75	7.093333	233	9.6	0	3	1.0	0	1.0
14	63	E	EC	8	0	8.18	6.76	0.94	7.191489	208	9.6	0	1	1.0	1	0.0

	Age	Gender	Diagnosis	APACHE II	SOFA	WBCC	NeuC	LymC	NLCR	PLTC	MPV	Group	LOS-ICU	Mortality	Gender_cat	Age_cat	Diagnosis_cat
1243	60	K	EC	10	2	5.61	5.23	0.23	22.739130	85	9.9	0	2	0	0.0	0	0.0
1245	40	E	EC	3	0	16.08	13.64	1.13	12.070796	203	9.3	0	1	0	1.0	0	0.0
1246	31	K	EC	7	2	8.07	6.64	0.58	11.448276	67	8.9	0	3	0	0.0	0	0.0
1248	52	E	EC	7	0	16.71	13.92	1.63	8.539877	160	10.6	0	1	0	1.0	0	0.0
1249	59	E	EC	10	2	5.75	4.82	0.46	10.478261	120	9.7	0	1	0	1.0	0	0.0
1251	27	E	EC	5	0	19.63	15.84	2.05	7.726829	194	8.8	0	1	0	1.0	0	0.0
1252	41	E	EC	7	2	3.35	2.88	0.30	9.600000	46	11.4	0	1	0	1.0	0	0.0
1253	63	E	M	14	6	9.80	8.32	0.76	10.947368	132	11.3	1	3	0	1.0	1	1.0
1254	60	E	M	24	8	5.06	4.38	0.49	8.938776	256	8.0	0	3	1	1.0	0	1.0
1256	31	K	M	16	5	8.40	6.69	0.76	8.802632	164	9.0	1	4	0	0.0	0	1.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)